An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data
The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2015-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7358049/ |
| _version_ | 1818457971867254784 |
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| author | Alex Page Tolga Soyata Jean-Philippe Couderc Mehmet Aktas |
| author_facet | Alex Page Tolga Soyata Jean-Philippe Couderc Mehmet Aktas |
| author_sort | Alex Page |
| collection | DOAJ |
| description | The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from ~120 000 heart beats per patient per day must be condensed into a human-readable form. Our goal is to facilitate the analysis of these unwieldy data sets. We have developed an open source tool for creating easy-to-interpret plots of cardiac information over long periods. We call these plots ECG clocks. The utility of our ECG clock library is demonstrated through multiple examples drawn from a database of 24-h Holter recordings. In these case studies, we focus on the visualization of heart rate and QT dynamics. The ECG clock concept is shown to be relevant for both physicians and researchers, for identifying healthy and abnormal values and patterns in ECG recordings. In this paper, we describe how to use the ECG clock library to analyze 24-h ECG recordings, and how to extend the source code for your own purposes. The tool is applicable to a wide range of cardiac monitoring tasks, such as heart rate variability or ST elevation. This library, which we have made freely available, can help provide new insights into circadian patterns of cardiac function in individuals and groups. |
| first_indexed | 2024-12-14T22:51:03Z |
| format | Article |
| id | doaj.art-582857d5d3924074a04c3bff097a66f8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T22:51:03Z |
| publishDate | 2015-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-582857d5d3924074a04c3bff097a66f82022-12-21T22:44:44ZengIEEEIEEE Access2169-35362015-01-0132704271410.1109/ACCESS.2015.25094267358049An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring DataAlex Page0Tolga Soyata1Jean-Philippe Couderc2Mehmet Aktas3Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USADepartment of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USAHeart Research Follow-Up Program, University of Rochester Medical Center, Rochester, NY, USASchool of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USAThe collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from ~120 000 heart beats per patient per day must be condensed into a human-readable form. Our goal is to facilitate the analysis of these unwieldy data sets. We have developed an open source tool for creating easy-to-interpret plots of cardiac information over long periods. We call these plots ECG clocks. The utility of our ECG clock library is demonstrated through multiple examples drawn from a database of 24-h Holter recordings. In these case studies, we focus on the visualization of heart rate and QT dynamics. The ECG clock concept is shown to be relevant for both physicians and researchers, for identifying healthy and abnormal values and patterns in ECG recordings. In this paper, we describe how to use the ECG clock library to analyze 24-h ECG recordings, and how to extend the source code for your own purposes. The tool is applicable to a wide range of cardiac monitoring tasks, such as heart rate variability or ST elevation. This library, which we have made freely available, can help provide new insights into circadian patterns of cardiac function in individuals and groups.https://ieeexplore.ieee.org/document/7358049/Electrocardiogramheart rate variabilitylong QT syndromeopen-source softwarevisualization |
| spellingShingle | Alex Page Tolga Soyata Jean-Philippe Couderc Mehmet Aktas An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data IEEE Access Electrocardiogram heart rate variability long QT syndrome open-source software visualization |
| title | An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data |
| title_full | An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data |
| title_fullStr | An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data |
| title_full_unstemmed | An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data |
| title_short | An Open Source ECG Clock Generator for Visualization of Long-Term Cardiac Monitoring Data |
| title_sort | open source ecg clock generator for visualization of long term cardiac monitoring data |
| topic | Electrocardiogram heart rate variability long QT syndrome open-source software visualization |
| url | https://ieeexplore.ieee.org/document/7358049/ |
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